CVC ClinicVideoDB - sporedata/researchdesigneR GitHub Wiki

General description

The CVC-ClinicVideoDB database is a publicly available collection of annotated colonoscopy videos used for research in computer-aided diagnosis (CAD) of colorectal cancer (CRC). It plays a crucial role in developing and validating machine learning algorithms, especially in the detection and segmentation of polyps during colonoscopy.

The CVC-ClinicVideoDB dataset helps improve automated systems' accuracy in detecting, classifying, and segmenting polyps in colonoscopy videos through the development of machine learning models and image processing algorithms. It is particularly useful for training and validating deep learning models designed to assist clinicians during real-time colonoscopy procedures, reducing the risk of missing polyps.

Dataset Categories

Colonoscopy Videos Frames and Annotations Polyp Segmentation Masks

Related publications

• Real-time polyp detection in colonoscopy videos: a preliminary study for adapting still frame-based methodology to video sequences analysis
• Polyp detection benchmark in colonoscopy videos using gtcreator: A novel fully configurable tool for easy and fast annotation of image databases

Data access

For more information on the CVC-ClinicVideo dataset, visit https://giana.grand-challenge.org/